論文

国際誌
2021年12月10日

dbTMM: an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project.

Human genome variation
  • Soichi Ogishima
  • Satoshi Nagaie
  • Satoshi Mizuno
  • Ryosuke Ishiwata
  • Keita Iida
  • Kazuro Shimokawa
  • Takako Takai-Igarashi
  • Naoki Nakamura
  • Sachiko Nagase
  • Tomohiro Nakamura
  • Naho Tsuchiya
  • Naoki Nakaya
  • Keiko Murakami
  • Fumihiko Ueno
  • Tomomi Onuma
  • Mami Ishikuro
  • Taku Obara
  • Shunji Mugikura
  • Hiroaki Tomita
  • Akira Uruno
  • Tomoko Kobayashi
  • Akito Tsuboi
  • Shu Tadaka
  • Fumiki Katsuoka
  • Akira Narita
  • Mika Sakurai
  • Satoshi Makino
  • Gen Tamiya
  • Yuichi Aoki
  • Ritsuko Shimizu
  • Ikuko N Motoike
  • Seizo Koshiba
  • Naoko Minegishi
  • Kazuki Kumada
  • Takahiro Nobukuni
  • Kichiya Suzuki
  • Inaho Danjoh
  • Fuji Nagami
  • Kozo Tanno
  • Hideki Ohmomo
  • Koichi Asahi
  • Atsushi Shimizu
  • Atsushi Hozawa
  • Shinichi Kuriyama
  • Nobuo Fuse
  • Teiji Tominaga
  • Shigeo Kure
  • Nobuo Yaegashi
  • Kengo Kinoshita
  • Makoto Sasaki
  • Hiroshi Tanaka
  • Masayuki Yamamoto
  • 全て表示

8
1
開始ページ
44
終了ページ
44
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1038/s41439-021-00175-5

To reveal gene-environment interactions underlying common diseases and estimate the risk for common diseases, the Tohoku Medical Megabank (TMM) project has conducted prospective cohort studies and genomic and multiomics analyses. To establish an integrated biobank, we developed an integrated database called "dbTMM" that incorporates both the individual cohort/clinical data and the genome/multiomics data of 157,191 participants in the Tohoku Medical Megabank project. To our knowledge, dbTMM is the first database to store individual whole-genome data on a variant-by-variant basis as well as cohort/clinical data for over one hundred thousand participants in a prospective cohort study. dbTMM enables us to stratify our cohort by both genome-wide genetic factors and environmental factors, and it provides a research and development platform that enables prospective analysis of large-scale data from genome cohorts.

リンク情報
DOI
https://doi.org/10.1038/s41439-021-00175-5
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/34887386
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660797
ID情報
  • DOI : 10.1038/s41439-021-00175-5
  • PubMed ID : 34887386
  • PubMed Central 記事ID : PMC8660797

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